کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
712341 | 892148 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Downhole Pressure Soft-Sensing using Interacting Multiple Modeling∗
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this work we design data-driven soft sensors of downhole pressure for gas-lift oil wells. We employ a two-step procedure. First, discrete-time (N)ARX models are identified offline from historical data. Second, recursive predictions of these multiple models are combined with current measured data (of variables other than the downhole pressure) by means of an interacting bank of (unscented) Kalman filters. We investigate the usage (i) of linear versus nonlinear models and (ii) of models with or without seabed variables in addition to platform variables. Results are validated by means of experimental data from three oil wells.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC-PapersOnLine - Volume 48, Issue 6, 2015, Pages 298-303
Journal: IFAC-PapersOnLine - Volume 48, Issue 6, 2015, Pages 298-303